Master the practical application of the new AIAG & VDA SPC Handbook with this focused, application-driven training designed for SPC practitioners. Moving beyond theory, this course demonstrates how to effectively apply Statistical Process Control in real-world manufacturing environments. You’ll build a solid understanding of how SPC enables process control and continuous improvement, while gaining the confidence to translate concepts into both robust reactive (OCAP) and proactive actions on the shop floor.
Select an existing open enrollment session, or contact us for additional training options.
Master the practical application of the new AIAG & VDA SPC Handbook with this focused, application-driven training designed for SPC practitioners. Moving beyond theory, this course demonstrates how to effectively apply Statistical Process Control in real-world manufacturing environments. You’ll build a solid understanding of how SPC enables process control and continuous improvement, while gaining the confidence to translate concepts into both robust reactive (OCAP) and proactive actions on the shop floor.
Through hands-on, scenario-based learning, you’ll develop the skills to analyze, implement, and sustain effective quality control loops. From evaluating machine and manufacturing process stability, performance, and capability to selecting the right control charts based on time-dependent distribution models, this course equips you to plan, execute, and continuously improve SPC activities—seamlessly integrating them with other core tools within your organization’s QMS to drive higher product quality and operational efficiency.
Length
2 days (16 hours)
Prerequisites
Basic knowledge of manufacturing processes, measurement systems, statistics*, and use of electronic spreadsheets (MS Excel®). No prior SPC training is required.
* Theoretical knowledge of general statistical terms (population, discrete characteristic, continuous characteristic, sample, average, range, standard deviation, random sample, run chart, bar chart, probability, histogram)
This course is designed for SPC practitioners, including quality engineers, manufacturing engineers, industrial engineers, and other multidisciplinary team members who are responsible for implementing and managing the application of Statistical Process Control techniques in manufacturing environments
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